Downloadable Resources

Learn how CareATC used ClosedLoop to replace rules-based risk stratification with machine learning. 75% of individuals for whom ClosedLoop’s predicted costs were more accurate than a rules-based system, and with ClosedLoop, CareATC achieved a 2.3X increase in identification of unplanned hospital admissions vs. their baseline.

You can’t buy a predictive model off the shelf. And if you COULD… would you? It’s the old “build versus buy” debate, and with data in a constant state of change, building and deploying AI is more challenging than ever. Join Tim Gasper, Juan Sequeda, and Andrew Eye, CEO of ClosedLoop, on data.world's catalog & cocktails podcast to hear them discuss the challenges of AI deployment, AIOps, and maintaining models as data changes.

Tune into this webinar with AIMed to hear Carol McCall, Chief Health Analytics Officer at ClosedLoop, describe how: (1) there are still significant gaps in evidence regarding effective health equity interventions, (2) closing this gap will require expanding the ways evidence is created and used, and (3) organizations are better positioned than they may think to adopt new methods now and can play an active role in improving health equity.

AI isn’t just the future of healthcare, it’s here today and driving improved outcomes and real impact. In this webinar with Massachusetts Health Data Consortium, ClosedLoop's Carol McCall and Dave DeCaprio will discuss measuring tangible ROI for predictive systems, creating explainable AI, addressing algorithmic bias, and overcoming the deployment challenges of machine learning models.

What do participants need to consider in order to succeed in CMS' new program, ACO REACH? Join Carol McCall of ClosedLoop for a conversation with Debbie Finnel, CEO of ilumed, to learn how ilumed is planning for success in ACO REACH.

Let’s take a look at each of the 5 steps in the Disparities Impact Statement and how you can go beyond checking the boxes to ensure ACO REACH program success.

Social determinants of health (SDoH) have an outsized influence on health outcomes and total cost of care. Identifying and addressing SDoH has the potential to improve outcomes, reduce costs, and improve health equity—particularly important goals for ACO REACH participants and other value-based care organizations. In this webinar, ClosedLoop's Carol McCall and Amrita Chadha will discuss why incorporating SDoH into your health equity strategy is a key to success in value-based care and show specific examples of how to create structured SDoH data for use in AI/ML approaches.

Healthfirst partners with ClosedLoop.ai as part of its strategy to develop timely predictive insights through operationalized Artificial Intelligence (AI) solutions that help drive member engagement and better health outcomes. By using AI technology to analyze claims and other population health data points, Healthfirst is able to identify health risks and predict health outcomes on the individual level in order to help guide its members to preventive actions. In 2021, Healthfirst was among several other investors to participate in a $34 million Series B round of investments for ClosedLoop.ai.

Fairness is not a math problem. Healthcare disparities are a global challenge requiring more than just physical care. Identifying and leveraging social determinants of health is a largely untapped key to closing the healthcare gap. Join Dave DeCaprio, Chief Technology Officer & Co-Founder, and Maria Palombini, Director of the IEEE SA Healthcare and Life Sciences global practice, as they discuss how AI presents a new perspective on transparency, reduction of bias, and a path toward health stakeholders’ trust with explainability in its applications.

ClosedLoop's chief health analytics officer, Carol McCall, was recently a panelist on "Addressing Bias in the Evolving Landscape of AI in Health Care," a webinar hosted by the Consumer Technology Association (CTA) and Digital Medicine Society (DiMe). The session explored the role of bias related to the use of data for AI in healthcare solutions and how clinicians, tech companies, and other stakeholders are learning mitigation approaches as the AI landscape evolves.

Learn how Healthfirst’s analytics team has dramatically enhanced its ability to train, test, and deploy AI-based models. The team has developed 978 custom features to supplement 612 features created using ClosedLoop’s pre-built templates. From this set of 1,590 features, Healthfirst has 17 deployed models that predict a variety of outcomes—from medication nonadherence to member churn.

Join Ryan Pretnik of KLAS Research and Andrew Eye, CEO of 2022 Best in KLAS Healthcare AI category winner ClosedLoop, to learn how healthcare organizations like yours are rapidly adopting new and custom AI to tackle some of healthcare’s big challenges.